AXEAP: a software package for X-ray emission data analysis using unsupervised machine learning

In Hui Hwang; Mikhail A. Solovyev; Sang Wook Han; Maria K.Y. Chan; John P. Hammonds; Steve M. Heald; Shelly D. Kelly; Nicholas Schwarz; Xiaoyi Zhang; Cheng Jun Sun; K. Kvashnina

doi:10.1107/S1600577522006786

AXEAP: a software package for X-ray emission data analysis using unsupervised machine learning

In Hui Hwang, Mikhail A. Solovyev, Sang Wook Han, Maria K.Y. Chan, John P. Hammonds, Steve M. Heald, Shelly D. Kelly, Nicholas Schwarz, Xiaoyi Zhang, Cheng Jun Sun^*, K. Kvashnina

^*Corresponding author for this work

MRC - Materials Research Center

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

The Argonne X-ray Emission Analysis Package (AXEAP) has been developed to calibrate and process X-ray emission spectroscopy (XES) data collected with a two-dimensional (2D) position-sensitive detector. AXEAP is designed to convert a 2D XES image into an XES spectrum in real time using both calculations and unsupervised machine learning. AXEAP is capable of making this transformation at a rate similar to data collection, allowing real-time comparisons during data collection, reducing the amount of data stored from gigabyte-sized image files to kilobyte-sized text files. With a user-friendly interface, AXEAP includes data processing for non-resonant and resonant XES images from multiple edges and elements. AXEAP is written in MATLAB and can run on common operating systems, including Linux, Windows, and MacOS.

Original language	English (US)
Pages (from-to)	1309-1317
Number of pages	9
Journal	Journal of Synchrotron Radiation
Volume	29
Issue number	Pt 5
DOIs	https://doi.org/10.1107/S1600577522006786
State	Published - Sep 1 2022

Keywords

AXEAP
XES
unsupervised machine learning
user-friendly interface

ASJC Scopus subject areas

Nuclear and High Energy Physics
Instrumentation
Radiation

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title = "AXEAP: a software package for X-ray emission data analysis using unsupervised machine learning",

abstract = "The Argonne X-ray Emission Analysis Package (AXEAP) has been developed to calibrate and process X-ray emission spectroscopy (XES) data collected with a two-dimensional (2D) position-sensitive detector. AXEAP is designed to convert a 2D XES image into an XES spectrum in real time using both calculations and unsupervised machine learning. AXEAP is capable of making this transformation at a rate similar to data collection, allowing real-time comparisons during data collection, reducing the amount of data stored from gigabyte-sized image files to kilobyte-sized text files. With a user-friendly interface, AXEAP includes data processing for non-resonant and resonant XES images from multiple edges and elements. AXEAP is written in MATLAB and can run on common operating systems, including Linux, Windows, and MacOS.",

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author = "Hwang, {In Hui} and Solovyev, {Mikhail A.} and Han, {Sang Wook} and Chan, {Maria K.Y.} and Hammonds, {John P.} and Heald, {Steve M.} and Kelly, {Shelly D.} and Nicholas Schwarz and Xiaoyi Zhang and Sun, {Cheng Jun} and K. Kvashnina",

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AU - Solovyev, Mikhail A.

AU - Han, Sang Wook

AU - Chan, Maria K.Y.

AU - Hammonds, John P.

AU - Heald, Steve M.

AU - Kelly, Shelly D.

AU - Schwarz, Nicholas

AU - Zhang, Xiaoyi

AU - Sun, Cheng Jun

AU - Kvashnina, K.

PY - 2022/9/1

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AB - The Argonne X-ray Emission Analysis Package (AXEAP) has been developed to calibrate and process X-ray emission spectroscopy (XES) data collected with a two-dimensional (2D) position-sensitive detector. AXEAP is designed to convert a 2D XES image into an XES spectrum in real time using both calculations and unsupervised machine learning. AXEAP is capable of making this transformation at a rate similar to data collection, allowing real-time comparisons during data collection, reducing the amount of data stored from gigabyte-sized image files to kilobyte-sized text files. With a user-friendly interface, AXEAP includes data processing for non-resonant and resonant XES images from multiple edges and elements. AXEAP is written in MATLAB and can run on common operating systems, including Linux, Windows, and MacOS.

KW - AXEAP

KW - XES

KW - unsupervised machine learning

KW - user-friendly interface

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AXEAP: a software package for X-ray emission data analysis using unsupervised machine learning

Abstract

Keywords

ASJC Scopus subject areas

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